Automated TTS evaluators, both MOS predictors and Audio-LLM judges, systematically fail to detect most linguistically grounded speech errors, with MOS predictors collapsing onto signal-level artifacts.
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Beyond Naturalness: Probing Automated Text-To-Speech Evaluators on Linguistically Grounded Dimensions
Automated TTS evaluators, both MOS predictors and Audio-LLM judges, systematically fail to detect most linguistically grounded speech errors, with MOS predictors collapsing onto signal-level artifacts.